In this paper, the characteristic parameters of power battery characteristics and the characteristic parameters of charging facility operation characteristics are combined and analyzed to study their fault correlation and dig out the …
In this paper, the characteristic parameters of power battery characteristics and the characteristic parameters of charging facility operation characteristics are combined and analyzed to study their fault correlation and dig out the …
By introducing a particle swarm optimization algorithm with mutation operators, the model can accurately identify potential faults in charging piles and construct a comprehensive operational status i...
The public charging pile built by the government is difficult to meet the daily charging demand of electric vehicles, and charging difficulty has become a key factor restricting the development of new energy vehicles. Sharing private charging piles through the sharing mode can alleviate the government''s investment in the construction of ...
The method proposed in this paper can make use of the real-time state parameters measured by the measuring equipment of the charging pile itself to judge its fault conditions, and provide …
Abstract: Aiming at the fault diagnosis of the charging module of the electric vehicle DC charging pile, a fault diagnosis method of the DC charging pile based on deep learning is proposed. …
The "Mobile Energy Storage Charging Pile Market" reached a valuation of USD xx.x Billion in 2023, with projections to achieve USD xx.x Billion by 2031, demonstrating a compound annual growth rate ...
This paper is based on the charging data of various devices collected during the charging process, including batteries, charging piles and new energy devices on the side of the power distribution grid, and data mining technology is used to process the data. Considering the factors affecting the safety of EV charging, the charging ...
To address this, we designed a simulated charging pile system and collected fault data at multiple power levels by manually introducing faults. Furthermore, we proposed a …
The "Mobile Energy Storage Charging Pile Market " reached a valuation of USD xx.x Billion in 2023, with projections to achieve USD xx.x Billion by 2031, demonstrating a compound annual growth rate ...
At present, renewable energy sources (RESs) and electric vehicles (EVs) are presented as viable solutions to reduce operation costs and lessen the negative environmental effects of microgrids (μGs). Thus, the rising demand for EV charging and storage systems coupled with the growing penetration of various RESs has generated new obstacles to the …
Take Tesla''s V3 charging pile as an example, its maximum charging power is 250kW, and it still takes about an hour to fill a car. In order to achieve "charging for 5 minutes and a range of 400 kilometers", a higher voltage charging platform is needed. 800V is only the threshold for fast charging the new world. Ideal car CEO Li Xiang previously ...
To address this, we designed a simulated charging pile system and collected fault data at multiple power levels by manually introducing faults. Furthermore, we proposed a fault identification algorithm based on spatiotemporal feature fusion using machine learning.
By introducing a particle swarm optimization algorithm with mutation operators, the model can accurately identify potential faults in charging piles and construct a comprehensive operational status i...
Electric vehicle charging pile fault diagnosis (CPFD) technology has achieved rapid development and successfully implemented in the field of electric vehicle charging piles. …
With the development and progress of society, the power load increases rapidly, especially the DC load represented by power electronic equipment 1,2,3,4,5, and the user''s demand for power quality ...
The public charging pile built by the government is difficult to meet the daily charging demand of electric vehicles, and charging difficulty has become a key factor …
In the development plan of China''s energy-saving and new energy vehicle industry, it is expected that by 2020, the number of electric vehicles in China will reach 6–12 million, and the construction of charging stations, charging piles and other facilities in …
Abstract: Aiming at the fault diagnosis of the charging module of the electric vehicle DC charging pile, a fault diagnosis method of the DC charging pile based on deep learning is proposed. First, through circuit simulation, the DC charging pile model is simulated under different faults and different working conditions, and the three input ...
Regarding vehicle charging methods, the average single-time charging initial SOC for fast charging of new energy private cars was more concentrated at 10–50%, with the number of vehicles accounting for 80.3%, which is 14.4% higher than the number of vehicles for slow charging; the average single-time charging initial SOC for slow charging of new energy private …
Charging of New Energy Vehicles With the phase-out of fiscal and tax subsidies for new energy vehicles, as well as the transition of national and local policies from "vehicle subsidy" to "use subsidy", governments, including central governments and local governments, work hand in hand to establish a good and stable industrial environment for charging facilities. By the end of …
5 · In order to improve the situation that the fault data set of electric vehicle charging pile has unbalanced data distribution under each fault and the small amount of data leads to the inconspicuous data features, this paper …
Electric vehicle charging pile fault diagnosis (CPFD) technology has achieved rapid development and successfully implemented in the field of electric vehicle charging piles. However, in real life, failure data is very difficult to obtain, as a result, it will cause data samples to be imbalanced seriously and make CPFD more and more challenging ...
IM1281 as the electric energy collection module. 2.2 Charging Pile IoT Data Communication Transmission Design (1) Communication network transmission process The system uses the NB73 chip as the core of the NB-IoT communication UE. When the charging pile needs to report data, it will first send the encoded data to the NB-IoT UE and send a request. If the request is …
In this article, a real-time fault prediction method combining cost-sensitive logistic regression (CS-LR) and cost-sensitive support vector machine classification (CS-SVM) is proposed. CS-LR is first used to classify the fault data of smart charging piles, then the CS …
The method proposed in this paper can make use of the real-time state parameters measured by the measuring equipment of the charging pile itself to judge its fault conditions, and provide support for the next maintenance work and troubleshooting work of the charging pile.
5 · In order to improve the situation that the fault data set of electric vehicle charging pile has unbalanced data distribution under each fault and the small amount of data leads to the inconspicuous data features, this paper proposes a method of SAE-MLP model for fault diagnosis of charging pile fault data. This paper firstly utilizes AE to ...
In this article, a real-time fault prediction method combining cost-sensitive logistic regression (CS-LR) and cost-sensitive support vector machine classification (CS-SVM) is proposed. CS-LR is first used to classify the fault data of smart charging piles, then the CS-SVM is adopted to predict the faults based on the classified data. The ...
This paper is based on the charging data of various devices collected during the charging process, including batteries, charging piles and new energy devices on the side of the power distribution grid, and data mining …
Because of the popularity of electric vehicles, large-scale charging piles are connected to the distribution network, so it is necessary to build an online platform for monitoring charging pile operation safety. In this paper, an online platform for monitoring charging pile operation safety was constructed from three aspects: hardware, database, and software …
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